biggan

1 files changed, 78 insertions, 0 deletions

diff --git a/cli/app/search/util.py b/cli/app/search/util.py
new file mode 100644
index 0000000..a4cdfd9
--- /dev/null
+++ b/cli/app/search/util.py
@@ -0,0 +1,78 @@
+
+def truncated_z_sample(batch_size, truncation=1., seed=None):
+  state = None if seed is None else np.random.RandomState(seed)
+  values = truncnorm.rvs(-2, 2, size=(batch_size, dim_z), random_state=state)
+  return truncation * values
+
+def one_hot(index, vocab_size=vocab_size):
+  index = np.asarray(index)
+  if len(index.shape) == 0:
+    index = np.asarray([index])
+  assert len(index.shape) == 1
+  num = index.shape[0]
+  output = np.zeros((num, vocab_size), dtype=np.float32)
+  output[np.arange(num), index] = 1
+  return output
+
+def imconvert_uint8(im):
+  im = np.clip(((im + 1) / 2.0) * 256, 0, 255)
+  im = np.uint8(im)
+  return im
+
+def imconvert_float32(im):
+  im = np.float32(im)
+  im = (im / 256) * 2.0 - 1
+  return im
+
+def imread(filename):
+  img = cv2.imread(filename, cv2.IMREAD_UNCHANGED)
+  if img is not None:
+    if len(img.shape) > 2:
+      img = img[...,::-1]
+  return img
+  
+def imwrite(filename, img):
+  if img is not None:
+    if len(img.shape) > 2:
+      img = img[...,::-1]
+  return cv2.imwrite(filename, img)
+
+def imgrid(imarray, cols=5, pad=1):
+  if imarray.dtype != np.uint8:
+    raise ValueError('imgrid input imarray must be uint8')
+  pad = int(pad)
+  assert pad >= 0
+  cols = int(cols)
+  assert cols >= 1
+  N, H, W, C = imarray.shape
+  rows = int(np.ceil(N / float(cols)))
+  batch_pad = rows * cols - N
+  assert batch_pad >= 0
+  post_pad = [batch_pad, pad, pad, 0]
+  pad_arg = [[0, p] for p in post_pad]
+  imarray = np.pad(imarray, pad_arg, 'constant', constant_values=255)
+  H += pad
+  W += pad
+  grid = (imarray
+          .reshape(rows, cols, H, W, C)
+          .transpose(0, 2, 1, 3, 4)
+          .reshape(rows*H, cols*W, C))
+  if pad:
+    grid = grid[:-pad, :-pad]
+  return grid
+
+def imshow(a, format='png', jpeg_fallback=True):
+  a = np.asarray(a, dtype=np.uint8)
+  str_file = cStringIO.StringIO()
+  PIL.Image.fromarray(a).save(str_file, format)
+  im_data = str_file.getvalue()
+  try:
+    disp = IPython.display.display(IPython.display.Image(im_data))
+  except IOError:
+    if jpeg_fallback and format != 'jpeg':
+      print ('Warning: image was too large to display in format "{}"; '
+             'trying jpeg instead.').format(format)
+      return imshow(a, format='jpeg')
+    else:
+      raise
+  return disp